Message from NLBSE 2025 Program Chairs

Natural Language Processing (NLP) refers to the automated elaboration of human language, including both algorithms that take human-produced text as input and algorithms that produce natural-looking text as outputs. NLP is widely used to optimize many aspects of the software development process. Since natural language artifacts are used and reused during the software development life-cycle, the availability of natural language-based approaches and tools has led to improvements in the software process and product efficiency. Indeed, NLP approaches (including LLMs) have proven useful for retrieving key information from a wide range of structured or unstructured sources. Besides, they show promise for the automated generation of fine-grained source code documentation to ease program comprehension and maintenance activities. Literature has shown that many software engineering (SE)-related tasks can benefit from adopting NLP techniques. The main objective of the Natural Language-Based Software Engineering Workshop (NLBSE) is to bring together researchers and industrial practitioners from the NLP and SE communities to share experiences. Our workshop aims to provide directions for future research and encourage the development of increasingly effective NLP solutions for addressing SE-specific challenges.

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Published
2025-04-27
DOI
https://doi.org/10.1109/nlbse66842.2025.00005
Primary Topic
Software Engineering Research
Type
article
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article

Message from NLBSE 2025 Program Chairs

Andrea Di Sorbo, Sebastiano Panichella
Software Engineering Research
article

Message from NLBSE 2025 Program Chairs

Andrea Di Sorbo, Sebastiano Panichella
article en

Abstract

Natural Language Processing (NLP) refers to the automated elaboration of human language, including both algorithms that take human-produced text as input and algorithms that produce natural-looking text as outputs. NLP is widely used to optimize many aspects of the software development process. Since natural language artifacts are used and reused during the software development life-cycle, the availability of natural language-based approaches and tools has led to improvements in the software process and product efficiency. Indeed, NLP approaches (including LLMs) have proven useful for retrieving key information from a wide range of structured or unstructured sources. Besides, they show promise for the automated generation of fine-grained source code documentation to ease program comprehension and maintenance activities. Literature has shown that many software engineering (SE)-related tasks can benefit from adopting NLP techniques. The main objective of the Natural Language-Based Software Engineering Workshop (NLBSE) is to bring together researchers and industrial practitioners from the NLP and SE communities to share experiences. Our workshop aims to provide directions for future research and encourage the development of increasingly effective NLP solutions for addressing SE-specific challenges.

University of Bern (CH), University of Sannio (IT), Delft University of Technology (NL)
Openalex Percentile: Top 81%
Software Engineering Research
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Message from NLBSE 2025 Program Chairs — Andrea Di Sorbo, Sebastiano Panichella · (2025) | TGRS Research Map | TGRS